Researchers used artificial intelligence (AI) to study how infants transition from random movements to purposeful actions. By tracking infant movements in a baby-mobile experiment, AI models like 2D-CapsNet accurately classified these movements and identified significant changes in foot movements as infants learned to interact with their environment.
